Curriculum
At a Glance |
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|---|---|---|
| Degree Awarded: | Master of Science in Business Analytics (AI digital badge or healthcare badge option) | |
| Course Locations: | Jersey City Campus, Online/Hybrid | |
| Program Duration: | 30 Credits. A full‐time student taking 30 credits per year should complete the program in 12 months (Part-time students: 18 credits per year in 18 months). | |
| Calendar: | Trimester (11 weeks), Fall, Winter, Spring, and Summer | |
| Course Format: | On-campus, hybrid / or fully online courses available. | |
The Master of Science degree in Business Analytics was designed for working managers and professionals who seek to deepen their industry credentials, data analysis skills and ability to leverage and monetize data in managerial processes and decision making to meet market needs.
Offered through Data Science Institute at Saint Peter’s University, the program provides a unique combination of skills and knowledge for managers. Topics include strategic management, finance, advanced data analysis and visualization.
Program Availability
The MS in Business Analytics program will be offered on a trimester schedule and is designed for both full-time and part-time study.
Degree Requirements
The degree requires 30 semester hour credits.
Advisement
Saint Peter’s University assigns an academic advisor to every candidate.
Time Limitation
Students are expected to enroll continuously until their programs are completed. Students are required to maintain satisfactory academic progress by maintaining the required grade point average and accumulating sufficient credits within the stipulated time frame of five years.
Curriculum - Master of Science in Business Analytics
| DS-510 | Intro to Data Science and AI | 3 |
| DS-520 | Data Analysis and Decision Modeling | 3 |
| DS-650 | Data Ethics and Artificial Intelligence | 3 |
| DS-542 | Python in Data Science | 3 |
| GB-622 | Management Economics | 3 |
| or EC-502 | Advanced Microeconomics | |
| DS-660 | Business Analytics | 3 |
| GB-530 | Corporate Finance | 3 |
| DS-680 | Marketing Analytics & Operation Research | 3 |
| DS-621 | Business Analytics With Power BI | 3 |
| Elective Chosen from GB, DS, CO, FN or AC | 3 | |
| Industry Experience | ||
| DS-597 | Applied Research Experience | 0 |
| DS-598 | Applied Industry Experience | 0 |
| Total Credits | 30 | |
Full-Time Option (Nine Months)
| Fall | Winter | Spring |
|---|---|---|
| DS-510: Intro. to Data Science | DS-542: Python in Data Science | DS-680: Marketing Analytics & Operations Research |
| DS-520: Data Analysis & Decision Modeling | GB-622: Managerial Economics | DS- : Concentration Elective |
| DS-650: Data Law, Ethics, & Bus. Intel. | GB-530: Managerial Finance & Decision Making | |
| DS-660: Business Analytics | DS-621 : Business Analytics with PowerBI |
Part-Time Option (Twenty-One Months)
Year 1:
| Fall | Winter | Spring |
|---|---|---|
| DS-510: Intro. to Data Science | DS-650: Data Law, Ethics, & Bus. Intel. | DS-660: Business Analytics |
| DS-520: Data Analysis & Decision Modeling | DS-542: Python in Data Science |
Year 2:
| Fall | Winter | Spring |
|---|---|---|
| GB-530: Managerial Finance & Decision Making | DS-680: Marketing Analytics & Operations Research | DS- : Concentration Elective |
| GB-622: Managerial Economics | DS-621 : Business Analytics with PowerBI |